Quenching of fully symmetric mixtures of oppositely charged microgels: the role of soft stiffness

Soft Matter ◽  
2018 ◽  
Vol 14 (24) ◽  
pp. 5106-5120 ◽  
Author(s):  
Thiago Colla ◽  
Ronald Blaak ◽  
Christos N. Likos

Using molecular dynamics simulations, we investigate the self-assembly of a coarse-grained binary system of oppositely charged microgels, symmetric in size and concentration.

Author(s):  
Łukasz Piotr Baran ◽  
Wojciech Rżysko ◽  
Dariusz Tarasewicz

In this study we have performed extensive coarse-grained molecular dynamics simulations of the self-assembly of tetra-substituted molecules. We have found that such molecules are able to form a variety of...


2015 ◽  
Vol 108 (2) ◽  
pp. 172a
Author(s):  
Valeria Marquez-Miranda ◽  
Iingrid Araya ◽  
Maria Belen Camarada ◽  
Lars Ratjen ◽  
Maria Carolina Otero ◽  
...  

Soft Matter ◽  
2021 ◽  
Author(s):  
Feng-Rui Xu ◽  
Rui Shi ◽  
XiangMeng Jia ◽  
Shengchao Chai ◽  
Haolong Li ◽  
...  

We use coarse-grained molecular dynamics simulations to study the self-assembly behavior of polyoxometalate (POM) nanoparticles (NPs) decorated with mobile polymer ligands in a melt condition. We demonstrate that due to...


Soft Matter ◽  
2018 ◽  
Vol 14 (23) ◽  
pp. 4762-4771 ◽  
Author(s):  
Denis Svechkarev ◽  
Alexander Kyrychenko ◽  
William M. Payne ◽  
Aaron M. Mohs

Side substituents on the hyaluronic acid backbone determine the morphology and hydration of the HA-derived nanoparticles hydrophobic domains.


2012 ◽  
Vol 1407 ◽  
Author(s):  
Andrew L. J. Pang ◽  
Viacheslav Sorkin ◽  
Yong-Wei Zhang

ABSTRACTWe studied the self-assembly mechanisms of Graphene Nanoribbon (GNR) with unsaturated edges and demonstrated the ability of GNR to self-assemble into novel stable structures. We proposed three mechanisms which dictate the self-assembly evolution of GNR with unsaturated edges. Using the Adaptive Intermolecular Reactive Empirical Bond-Order (AIREBO) potential, we performed molecular dynamics simulations on initially-planar GNRs with unsaturated edges. The simulation results showed that the self-assembly mechanisms and final conformations of the GNRs correlate well with the proposed GNR self-assembly mechanisms. Furthermore, the simulations also showed the ability of a narrow GNR to self-assemble into various nanostructures, such as tapered graphene nano-rings and graphene nanoscrolls with an embedded nanotube.


Soft Matter ◽  
2015 ◽  
Vol 11 (4) ◽  
pp. 680-691 ◽  
Author(s):  
Anna Akinshina ◽  
Martin Walker ◽  
Mark R. Wilson ◽  
Gordon J. T. Tiddy ◽  
Andrew J. Masters ◽  
...  

Molecular dynamics simulations of non-ionic triphenylene-based chromonic liquid crystal molecules demonstrate self-assembly of the molecules into stacks and “quasi-isodesmic” aggregation behaviour.


2019 ◽  
Vol 20 (24) ◽  
pp. 6217
Author(s):  
Maria Jansson ◽  
Marie Skepö

The addition of polyelectrolytes (PEs) to suspensions of charged colloids, such as nanoplatelets (NPs), is of great interest due to their specific feature of being either a stabilizing or a destabilizing agent. Here, the complexation between a PE and oppositely charged NPs is studied utilizing coarse-grained molecular dynamics simulations based on the continuum model. The complex formation is evaluated with respect to the stoichiometric charge-ratio within the system, as well as by the alternation of the chain properties. It is found that the formed complexes can possess either an extended or a compact shape. Moreover, it is observed that the chain can become overcharged by the oppositely charged NPs. With an increase in chain length, or a decrease in chain flexibility, the complex obtains a more extended shape, where the NPs are less tightly bound to the PE. The latter is also true when reducing the total charge of the chain by varying the linear charge density, whereas in this case, the chain contracts. With our coarse-grained model and molecular dynamics simulations, we are able to predict the composition and the shape of the formed complex and how it is affected by the characteristics of the chain. The take-home message is that the complexation between PEs and NPs results in a versatile and rich state diagram, which indeed is difficult to predict, and dependent on the properties of the chain and the model used. Thus, we propose that the present model can be a useful tool to achieve an understanding of the PE-NPs complexation, a system commonly used in industrial and in technological processes.


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